@inproceedings{WeissAbanteribaEsch2007,
  author    = {Weiss, Alexander and Abanteriba, Sylvester and Esch, Thomas},
  title     = {Investigation of Flow Separation Inside a Conical Rocket Nozzle With the Aid of an Annular Cross Flow},
  series = {Proceedings of the ASME/JSME 2007 5th Joint Fluids Engineering Conference. Volume 1: Symposia, Parts A and B},
  booktitle = {Proceedings of the ASME/JSME 2007 5th Joint Fluids Engineering Conference. Volume 1: Symposia, Parts A and B},
  publisher = {American Society of Mechanical Engineers (ASME)},
  address   = {New York},
  isbn      = {0-7918-4288-6},
  doi       = {10.1115/FEDSM2007-37387},
  pages     = {1861 -- 1871},
  year      = {2007},
  abstract  = {Flow separation is a phenomenon that occurs in all kinds of supersonic nozzles sometimes during run-up and shut-down operations. Especially in expansion nozzles of rocket engines with large area ratio, flow separation can trigger strong side loads that can damage the structure of the nozzle. The investigation presented in this paper seeks to establish measures that may be applied to alter the point of flow separation. In order to achieve this, a supersonic nozzle was placed at the exit plane of the conical nozzle. This resulted in the generation of cross flow surrounding the core jet flow from the conical nozzle. Due to the entrainment of the gas stream from the conical nozzle the pressure in its exit plane was found to be lower than that of the ambient. A Cold gas instead of hot combustion gases was used as the working fluid. A mathematical simulation of the concept was validated by experiment. Measurements confirmed the simulation results that due to the introduction of a second nozzle the pressure in the separated region of the conical nozzle was significantly reduced. It was also established that the boundary layer separation inside the conical nozzle was delayed thus allowing an increased degree of overexpansion. The condition established by the pressure measurements was also demonstrated qualitatively using transparent nozzle configurations.},
  language  = {en}
}
@misc{PischingerEschDuesmann2006,
  author    = {Pischinger, Martin and Esch, Thomas and Duesmann, Klaus},
  title     = {Elektromagnetischer Aktuator mit gelenkig abgest{\"u}tzter R{\"u}ckstellfeder},
  year      = {2006},
  abstract  = {Die Erfindung betrifft einen elektromagnetischen Aktuator zur Bet{\"a}tigung eines Stellgliedes (7) mit wenigstens einem gesteuert bestrombaren Elektromagneten (1, 2) und einem mit dem Stellglied (7) in Wirkverbindung stehenden Anker (5), der bei Bestromung des Elektromagneten (1, 2) gegen die Kraft wenigstens einer an einem Geh{\"a}use (12) abgest{\"u}tzten R{\"u}ckstellfeder (10) an der Polfl{\"a}che (3, 4) des Elektromagneten (1, 2) zur Anlage kommt, und daß zumindest der Anker (5) {\"u}ber eine sph{\"a}rische Gelenkanordnung (11) auf der R{\"u}ckstellfeder (10) abgest{\"u}tzt ist.},
  language  = {de}
}
@inproceedings{HuthElsenHartwigetal.2006,
  author    = {Huth, Thomas and Elsen, Olaf and Hartwig, Christoph and Esch, Thomas},
  title     = {Innovative modular valve trains for 2015 - logistic benefits by EMVT},
  series = {IFAC Proceedings Volumes, Volume 39, Issue 3},
  booktitle = {IFAC Proceedings Volumes, Volume 39, Issue 3},
  publisher = {Elsevier},
  address   = {Amsterdam},
  doi       = {10.3182/20060517-3-FR-2903.00172},
  pages     = {315 -- 320},
  year      = {2006},
  abstract  = {In this paper the way to a 5-day-car with respect to a modular valve train systems for spark ignited combustion engines is shown. The necessary product diversity is shift from mechanical or physical components to software components. Therefore, significant improvements of logistic indicators are expected and shown. The working principle of a camless cylinder head with respect to an electromagnetical valve train (EMVT) is explained and it is demonstrated that shifting physical diversity to software is feasible. The future design of combustion engine systems including customisation can be supported by a set of assistance tools which is shown exemplary.},
  language  = {en}
}
@article{ElsenHartungHornetal.2001,
  author    = {Elsen, Ingo and Hartung, Frank and Horn, Uwe and Kampmann, Markus and Peters, Liliane},
  title     = {Streaming technology in 3G mobile communication systems},
  series = {Computer : innovative technology for computer professionals},
  volume    = {34},
  journal   = {Computer : innovative technology for computer professionals},
  number    = {9 Seiten},
  editor    = {Voas, Jeffrey},
  publisher = {IEEE},
  address   = {New York},
  issn      = {0018-9162},
  pages     = {46 -- 52},
  year      = {2001},
  abstract  = {Third-generation mobile communication systems will combine standardized streaming with a range of unique services to provide high-quality Internet content that meets the specific needs of the rapidly growing mobile market.},
  language  = {en}
}
@phdthesis{Elsen2000,
  author    = {Elsen, Ingo},
  title     = {Ansichtenbasierte 3D-Objekterkennung mit erweiterten selbstorganisierenden Merkmalskarten},
  publisher = {VDI-Verlag},
  address   = {D{\"u}sseldorf},
  isbn      = {978-3-18-363110-0},
  issn      = {0341-1796},
  pages     = {VIII, 140 S. : Ill., graph. Darst.},
  year      = {2000},
  language  = {de}
}
@article{ElsenKraiss1999,
  author    = {Elsen, Ingo and Kraiss, Karl-Friedrich},
  title     = {System concept and realization of a scalable neurocomputing architecture},
  series = {Systems Analysis Modelling Simulation},
  volume    = {35},
  journal   = {Systems Analysis Modelling Simulation},
  number    = {4},
  publisher = {Gordon and Breach Science Publishers},
  address   = {Amsterdam},
  issn      = {0232-9298},
  pages     = {399 -- 419},
  year      = {1999},
  abstract  = {This paper describes the realization of a novel neurocomputer which is based on the concepts of a coprocessor. In contrast to existing neurocomputers the main interest was the realization of a scalable, flexible system, which is capable of computing neural networks of arbitrary topology and scale, with full independence of special hardware from the software's point of view. On the other hand, computational power should be added, whenever needed and flexibly adapted to the requirements of the application. Hardware independence is achieved by a run time system which is capable of using all available computing power, including multiple host CPUs and an arbitrary number of neural coprocessors autonomously. The realization of arbitrary neural topologies is provided through the implementation of the elementary operations which can be found in most neural topologies.},
  language  = {en}
}
@article{ElsenKraissKrumbiegeletal.1999,
  author    = {Elsen, Ingo and Kraiss, Karl-Friedrich and Krumbiegel, Dirk and Walter, Peter and Wickel, Jochen},
  title     = {Visual information retrieval for 3D product identification: a midterm report},
  series = {KI - K{\"u}nstliche Intelligenz},
  volume    = {13},
  journal   = {KI - K{\"u}nstliche Intelligenz},
  number    = {1},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1610-1987},
  pages     = {64 -- 67},
  year      = {1999},
  language  = {en}
}
@inproceedings{WalterElsenMuelleretal.1999,
  author    = {Walter, Peter and Elsen, Ingo and M{\"u}ller, Holger and Kraiss, Karl-Friedrich},
  title     = {3D object recognition with a specialized mixtures of experts architecture},
  series = {IJCNN'99. International Joint Conference on Neural Networks. Proceedings},
  booktitle = {IJCNN'99. International Joint Conference on Neural Networks. Proceedings},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-5529-6},
  issn      = {1098-7576},
  doi       = {10.1109/IJCNN.1999.836243},
  pages     = {3563 -- 3568},
  year      = {1999},
  abstract  = {Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.},
  language  = {en}
}
@misc{SalberPischingerEschetal.1998,
  author    = {Salber, Wolfgang and Pischinger, Martin and Esch, Thomas and Hagen, J{\"u}rgen},
  title     = {Kaltstartverfahren f{\"u}r eine drosselfreie Mehrzylinder-Kolbenbrennkraftmaschine},
  year      = {1998},
  abstract  = {Die Erfindung betrifft ein Kaltstartverfahren f{\"u}r eine Mehrzylinder-Kolbenbrennkraftmaschine mit Anlasser und einer Motorsteuerung zur Ansteuerung von Kraftstoffeinspritzeinrichtungen, Z{\"u}ndung und voll variabel elektromagnetisch bet{\"a}tigbaren Gaswechselventilen an den einzelnen Zylindern, bei dem die Kurbelwelle {\"u}ber den Anlasser gedreht wird und zum Start f{\"u}r wenigstens einen Zylinder die dazugeh{\"o}rigen Gaswechselventile, die Kraftstoffeinspritzeinrichtung und die Z{\"u}ndung in einem vorgegebenen Taktzyklus angesteuert werden und zwar in den ersten Arbeitszyklen mit "Sp{\"a}tem Einlaß {\"O}ffnen".},
  language  = {de}
}
@inproceedings{Elsen1998,
  author    = {Elsen, Ingo},
  title     = {A pixel based approach to view based object recognition with self-organizing neural networks},
  series = {IECON'98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society},
  booktitle = {IECON'98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-4503-7},
  doi       = {10.1109/IECON.1998.724032},
  pages     = {2040 -- 2044},
  year      = {1998},
  abstract  = {This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.},
  language  = {en}
}